{"id":"W2989188494","doi":"10.1109/globalsip45357.2019.8969170","title":"Single RF Chain Hybrid Analog/Digital Beamforming for Mmwave Massive-mimo","year":2019,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Beamforming; MIMO; Computer science; Electronic engineering; Wireless; 3G MIMO; Multi-user MIMO; Extremely high frequency; Radio frequency; Computer engineering; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008928395,0.0001457044,0.0001588645,0.0001015816,0.00003896662,0.00008599414,0.00008906374,0.00004288423,0.0001798468],"category_scores_gemma":[0.00002324321,0.0001386607,0.00009444263,0.00006265935,0.00000868141,0.0002664465,0.00002571654,0.00007325898,0.0001699816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005920744,"about_ca_system_score_gemma":0.000009819301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002560663,"about_ca_topic_score_gemma":0.00000261307,"domain_scores_codex":[0.9992041,0.000002854504,0.0002230861,0.0001789758,0.0001063209,0.0002846904],"domain_scores_gemma":[0.9996309,0.00004496752,0.00002636672,0.0001716403,0.00004922369,0.00007691055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004116638,0.00009823008,0.0003269616,0.0004676689,0.000215922,0.000007953839,0.000571069,0.2361874,0.6014029,0.00151301,0.004337122,0.1548306],"study_design_scores_gemma":[0.0004346496,0.00007609393,0.000004100861,0.0000263602,0.000008654707,0.000006780751,0.0001424016,0.7734513,0.2146911,0.0005614012,0.01033276,0.000264354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2428977,0.00004603766,0.7298921,0.0000432772,0.0002841928,0.0002940326,0.00002510866,0.0002525006,0.02626504],"genre_scores_gemma":[0.9879614,0.000005550831,0.009452493,0.0001246262,0.00009416665,0.00001814725,0.00006619639,0.00004353657,0.002233891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7450637,"threshold_uncertainty_score":0.5654418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686160475501752,"score_gpt":0.2046061965652054,"score_spread":0.1877445918101878,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}